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Wei Li
Institute of Wetland Research, Chinese Academy of Forestry, Beijing, China

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Journal article
Published: 28 May 2021 in Spectroscopy Letters
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ACS Style

Lijuan Cui; Xueyan Zuo; Zhiguo Dou; Yilan Huang; Xinsheng Zhao; Xiajie Zhai; Yinru Lei; Jing Li; Xu Pan; Wei Li. Plant identification of Beijing Hanshiqiao wetland based on hyperspectral data. Spectroscopy Letters 2021, 54, 381 -394.

AMA Style

Lijuan Cui, Xueyan Zuo, Zhiguo Dou, Yilan Huang, Xinsheng Zhao, Xiajie Zhai, Yinru Lei, Jing Li, Xu Pan, Wei Li. Plant identification of Beijing Hanshiqiao wetland based on hyperspectral data. Spectroscopy Letters. 2021; 54 (5):381-394.

Chicago/Turabian Style

Lijuan Cui; Xueyan Zuo; Zhiguo Dou; Yilan Huang; Xinsheng Zhao; Xiajie Zhai; Yinru Lei; Jing Li; Xu Pan; Wei Li. 2021. "Plant identification of Beijing Hanshiqiao wetland based on hyperspectral data." Spectroscopy Letters 54, no. 5: 381-394.

Journal article
Published: 21 September 2020 in Water
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Decomposition of emergent macrophytes is now recognized as an internal nutrient source for shallow lakes. Temperate lakes always experience seasonal ice cover in winter, but the influences of emergent macrophytes decomposition on water quality have rarely been examined under ice. Here, we conducted an incubation experiment to investigate winter decomposition of two common emergent macrophytes species (Typha orientalis and Phragmites australis) and its influences on water quality in the Hengshui Lake, North China. Mesocosms simulating a lake ice regime were incubated in the field for 120 days in winter and were treated with and without plant material addition. Water quality was monitored through dissolved oxygen (DO), dissolved organic carbon (DOC), total nitrogen (TN), total phosphorus (TP), ammonium nitrogen (NH4-N), and nitrate nitrogen (NO3-N). We found that both species were significantly decomposed in winter and that the majority of mass loss occurred in the first 10 days of decomposition when the water surface of mesocosms were already frozen. The concentrations of DO rapidly dropped to values close to zero after plant material submergence. At the end of incubation, the concentrations of DOC, TN, and NO3-N in the mesocosms with plant material addition were significantly higher than initial concentrations. In contrast, the concentrations of DOC, TN, TP, NO3-N, and NH4-N in the mesocosms without plant material addition were equal to or less than initial concentrations. Our research suggests that winter decomposition of emergent macrophytes produces negative influences on water quality under ice that lasts for the whole winter.

ACS Style

Yuanyun Wei; Manyin Zhang; Lijuan Cui; Xu Pan; Weiwei Liu; Wei Li; Yinru Lei. Winter Decomposition of Emergent Macrophytes Affects Water Quality under Ice in a Temperate Shallow Lake. Water 2020, 12, 2640 .

AMA Style

Yuanyun Wei, Manyin Zhang, Lijuan Cui, Xu Pan, Weiwei Liu, Wei Li, Yinru Lei. Winter Decomposition of Emergent Macrophytes Affects Water Quality under Ice in a Temperate Shallow Lake. Water. 2020; 12 (9):2640.

Chicago/Turabian Style

Yuanyun Wei; Manyin Zhang; Lijuan Cui; Xu Pan; Weiwei Liu; Wei Li; Yinru Lei. 2020. "Winter Decomposition of Emergent Macrophytes Affects Water Quality under Ice in a Temperate Shallow Lake." Water 12, no. 9: 2640.

Articles
Published: 10 March 2020 in Ecosystem Health and Sustainability
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Introduction: High mercury (Hg) concentrations affect the chlorophyll in leaves, thereby modifying leaf spectra. Hyperspectra is a promising technique for the rapid, nondestructive evaluation of leaf Hg content. In this study, we investigated Hg contents and reflective hyperspectra of reed leaves (Phragmites communis) in a gold mining (Jilin province, China). Spectral parameters sensitive to Hg content were identified through basic spectral transformations, continuous wavelet transformation (CWT), and spectral indices techniques. Leaf Hg inversion models were developed using stepwise multiple linear regression, partial least squares regression, and random forest algorithms.Outcomes: The results indicated that: 1) leaf Hg content decreased with increasing distance from the mine: Jiapigou (JPG) > Erdaocha (EDC) > Laojingchang (LJC) > Erdaogou (EDG) > Lingqian (LQ) > Weishahe (WSH). 2) Hg–sensitive wavelengths were primarily in the visible region; CWT increased the correlation between hyperspectral data and leaf Hg content, and improved the regression and accuracy of inversion; 3) the continuum removal–CWT–stepwise multiple linear regression was better for estimating low leaf Hg content; while the differential spectral index–partial least squares regression was better for estimating high leaf Hg content.Conclusion: These hyperspectral inversion methods could be used for rapid, nondestructive monitoring of wetland plants.

ACS Style

Weiwei Liu; Mengjie Li; Manyin Zhang; Daan Wang; Ziliang Guo; Songyuan Long; Si Yang; Henian Wang; Wei Li; Yukun Hu; Yuanyun Wei; Hongye Xiao. Estimating leaf mercury content in Phragmites australis based on leaf hyperspectral reflectance. Ecosystem Health and Sustainability 2020, 6, 1 .

AMA Style

Weiwei Liu, Mengjie Li, Manyin Zhang, Daan Wang, Ziliang Guo, Songyuan Long, Si Yang, Henian Wang, Wei Li, Yukun Hu, Yuanyun Wei, Hongye Xiao. Estimating leaf mercury content in Phragmites australis based on leaf hyperspectral reflectance. Ecosystem Health and Sustainability. 2020; 6 (1):1.

Chicago/Turabian Style

Weiwei Liu; Mengjie Li; Manyin Zhang; Daan Wang; Ziliang Guo; Songyuan Long; Si Yang; Henian Wang; Wei Li; Yukun Hu; Yuanyun Wei; Hongye Xiao. 2020. "Estimating leaf mercury content in Phragmites australis based on leaf hyperspectral reflectance." Ecosystem Health and Sustainability 6, no. 1: 1.

Articles
Published: 25 February 2020 in Remote Sensing Letters
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The nitrogen and phosphorus content in water and sediment is an important index for evaluating the nutritional status of wetland ecosystems. This study used an inversion model to assess the total nitrogen (TN) and total phosphorus (TP) content of constructed wetland using the canopy spectral reflectance data of four wetland plants. And then determine their relative suitability as a remotely sensed environmental monitoring tool. For water, the coefficient of determination (R2) of floating plants (up to 0.92) was higher than that of emergent plants (up to 0.82). For sediment, the R2 of TN inversion for S. natans was 0.59 and that of TP inversion for L. minor was 0.52, suggesting that floating plant canopy spectral reflectance data are more useful for assessing water directly, while indicators for the sedimentary environment can be assessed using emergent plants. Overall, the results clearly show that it is feasible to estimate water and sediment TN and TP content using plant canopy spectral reflectance data, providing the basis for widespread, rapid, and reliable monitoring of wetland ecosystem health via hyperspectral remote sensing. This study provides a reference for the timely development of further wetland restoration and protection measures.

ACS Style

Wei Li; Zhiguo Dou; Lijuan Cui; Rumiao Wang; Zhijiang Zhao; Shifeng Cui; Yinru Lei; Jing Li; Xinsheng Zhao; Xiajie Zhai. Suitability of hyperspectral data for monitoring nitrogen and phosphorus content in constructed wetlands. Remote Sensing Letters 2020, 11, 495 -504.

AMA Style

Wei Li, Zhiguo Dou, Lijuan Cui, Rumiao Wang, Zhijiang Zhao, Shifeng Cui, Yinru Lei, Jing Li, Xinsheng Zhao, Xiajie Zhai. Suitability of hyperspectral data for monitoring nitrogen and phosphorus content in constructed wetlands. Remote Sensing Letters. 2020; 11 (5):495-504.

Chicago/Turabian Style

Wei Li; Zhiguo Dou; Lijuan Cui; Rumiao Wang; Zhijiang Zhao; Shifeng Cui; Yinru Lei; Jing Li; Xinsheng Zhao; Xiajie Zhai. 2020. "Suitability of hyperspectral data for monitoring nitrogen and phosphorus content in constructed wetlands." Remote Sensing Letters 11, no. 5: 495-504.

Articles
Published: 11 February 2020 in Ecosystem Health and Sustainability
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Wetland soil fauna support material cycling and restoration processes in wetland ecosystems. In our study, we observed variations in wetland soil fauna on the shores of Lake Taihu, China. We examined the relationships between fauna and major environmental factors, and looked at the short-and long-term changes in reed wetlands under restoration and in the natural reed lakeshore. We identified 93 groups of soil fauna in different wetlands and found significant differences in the lakeshore wetlands’ soil fauna assemblages, depending on the length of the restoration period. By analyzing the soil fauna community evenness, dominance, number of taxa, and diversity, we found minimal seasonal variation in the soil fauna community diversity and abundance. The abundance of soil fauna in the sites under restoration decreased with depth below the soil surface. The reed restoration was obvious in the succession of the soil fauna groups in the long-term site. Although the restoration had an overall positive long-term effect on the soil fauna communities, there were no obvious short-term changes in the number of individuals. The study explored various potential measures to restore soil fauna in the Lake Taihu wetland and developed a theoretical basis for restoring the lakeshore wetland ecosystem.

ACS Style

Wei Li; Zhiguo Dou; Lijuan Cui; Xinsheng Zhao; Manyin Zhang; Yan Zhang; Changjun Gao; Zheng Yang; Yinru Lei; Xu Pan. Soil fauna diversity at different stages of reed restoration in a lakeshore wetland at Lake Taihu, China. Ecosystem Health and Sustainability 2020, 6, 1 .

AMA Style

Wei Li, Zhiguo Dou, Lijuan Cui, Xinsheng Zhao, Manyin Zhang, Yan Zhang, Changjun Gao, Zheng Yang, Yinru Lei, Xu Pan. Soil fauna diversity at different stages of reed restoration in a lakeshore wetland at Lake Taihu, China. Ecosystem Health and Sustainability. 2020; 6 (1):1.

Chicago/Turabian Style

Wei Li; Zhiguo Dou; Lijuan Cui; Xinsheng Zhao; Manyin Zhang; Yan Zhang; Changjun Gao; Zheng Yang; Yinru Lei; Xu Pan. 2020. "Soil fauna diversity at different stages of reed restoration in a lakeshore wetland at Lake Taihu, China." Ecosystem Health and Sustainability 6, no. 1: 1.

Research article
Published: 01 January 2020 in Marine and Freshwater Research
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Human activities alter the growth of coastal wetland vegetation. In the present study, we used a spectrometer and hyperspectral data to determine and compare the biomass of Suaeda salsa in a coastal wetland under protective and destructive activities. Using typical discriminants, the hyperspectral data of Suaeda salsa were distinguished under the influence of two kinds of human activity, and the accuracy of the inversion model of biomass was established following improved differentiation of the data under the influence of human activities. The original spectral reflectance and vegetation index were selected, and the biomass-inversion model was established by linear regression and partial least-squares regression. The model established by partial least-squares regression had a good precision (R2>0.85, RMSE%<5.6%). Hyperspectral technology can accurately show plant biomass and the indirect effects of interference by human activities of different intensity on coastal wetlands. The accuracy of the models can be improved by distinguishing the vegetation patterns under the influence of different types of human activity, and then constructing the biomass models. This study provides technical support for the use of quantitative remote sensing-based methods to monitor the fragile ecology of coastal wetlands under the influence of human activities.

ACS Style

Zhiguo Dou; Youzhi Li; Lijuan Cui; Xu Pan; Qiongfang Ma; Yilan Huang; Yinru Lei; Jing Li; Xinsheng Zhao; Wei Li. Hyperspectral inversion of Suaeda salsa biomass under different types of human activity in Liaohe Estuary wetland in north-eastern China. Marine and Freshwater Research 2020, 71, 482 .

AMA Style

Zhiguo Dou, Youzhi Li, Lijuan Cui, Xu Pan, Qiongfang Ma, Yilan Huang, Yinru Lei, Jing Li, Xinsheng Zhao, Wei Li. Hyperspectral inversion of Suaeda salsa biomass under different types of human activity in Liaohe Estuary wetland in north-eastern China. Marine and Freshwater Research. 2020; 71 (4):482.

Chicago/Turabian Style

Zhiguo Dou; Youzhi Li; Lijuan Cui; Xu Pan; Qiongfang Ma; Yilan Huang; Yinru Lei; Jing Li; Xinsheng Zhao; Wei Li. 2020. "Hyperspectral inversion of Suaeda salsa biomass under different types of human activity in Liaohe Estuary wetland in north-eastern China." Marine and Freshwater Research 71, no. 4: 482.

Articles
Published: 18 October 2019 in Spectroscopy Letters
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Nitrogen is an essential nutrient for plant growth and development. Rapid and nondestructive monitoring of nitrogen nutrition in plants using hyperspectral remote sensing is important for accurate diagnosis and quality evaluation of plant growth status. The sensitive bands of leaf nitrogen concentration varied in different plants. However, most of the current studies are concentrated on crops, and only a few studies focused on wetland plants. This study investigated the accuracy of the most common univariate, stepwise multiple linear regression, and partial least squares regression models for predicting leaf nitrogen content in a wetland plant reed (Phragmites australis) by testing the accuracy of all the models through leave-one-out cross validation coefficient of determination, root mean square error and relative error. It found that: (i) sensitive bands responding to leaf nitrogen concentration were concentrated in the green and red regions of visible light; (ii) for univariate regression models, the quadratic polynomial model based on the difference spectral index composed of 665 nm and 680 nm had the highest predictive accuracy (the validation coefficient of determination was 0.7535); (iii) for multivariate regression models, the stepwise multiple linear regression models had superior predictive accuracy to the partial least squares regression models, and the stepwise multiple linear regression model with first derivative reflectance was optimal for predicting leaf nitrogen concentration (the validation coefficient of determination was 0.7746, the validation root mean square error was 0.2925, and the validation relative error was 0.0804). The findings provide a scientific basis for rapid estimation and monitoring of leaf nitrogen concentration in P. australis in a nondestructive manner.

ACS Style

Manyin Zhang; Mengjie Li; Weiwei Liu; Lijuan Cui; Wei Li; Henian Wang; Yuanyun Wei; Ziliang Guo; Daan Wang; Yukun Hu; Weigang Xu; Si Yang; Hongye Xiao; Songyuan Long. Analyzing the performance of statistical models for estimating leaf nitrogen concentration of Phragmites australis based on leaf spectral reflectance. Spectroscopy Letters 2019, 52, 483 -491.

AMA Style

Manyin Zhang, Mengjie Li, Weiwei Liu, Lijuan Cui, Wei Li, Henian Wang, Yuanyun Wei, Ziliang Guo, Daan Wang, Yukun Hu, Weigang Xu, Si Yang, Hongye Xiao, Songyuan Long. Analyzing the performance of statistical models for estimating leaf nitrogen concentration of Phragmites australis based on leaf spectral reflectance. Spectroscopy Letters. 2019; 52 (9):483-491.

Chicago/Turabian Style

Manyin Zhang; Mengjie Li; Weiwei Liu; Lijuan Cui; Wei Li; Henian Wang; Yuanyun Wei; Ziliang Guo; Daan Wang; Yukun Hu; Weigang Xu; Si Yang; Hongye Xiao; Songyuan Long. 2019. "Analyzing the performance of statistical models for estimating leaf nitrogen concentration of Phragmites australis based on leaf spectral reflectance." Spectroscopy Letters 52, no. 9: 483-491.

Journal article
Published: 02 March 2019 in Sustainability
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Particulate matter (PM) is an essential source of atmospheric pollution in metropolitan areas since it has adverse effects on human health. However, previous research suggested wetlands can remove particulate matter from the atmosphere to land surfaces. This study was conducted in the Hanshiqiao Wetland National Nature Reserve in Beijing during 2016. The concentrations of PM10 and PM2.5 on a wetland and bare land in the park, as well as metrological data, were collected during the whole year. Based on the observed data, removal efficiency of each land use type was calculated by empirical models and the relationships between concentrations and metrological factors were also analyzed. The results indicated that: (1) In general, the PM10 and PM2.5 concentrations on the bare land surface were higher than those on the wetland surface, in both of which the highest value appeared at night and evening, while the lowest value appeared near noon. In terms of season, the average concentration of PM10 was higher in winter (wetland: 137.48 μg·m−3; bare land: 164.75 μg·m−3) and spring (wetland: 205.18 μg·m−3; bare land: 244.85 μg·m−3) in general. The concentration of PM2.5 on the wetland surface showed the same pattern, while that on the bare land surface was higher in spring and summer. (2) Concentrations of PM10 and PM2.5 were significantly correlated with the relative humidity (p < 0.01) and inversely correlated with wind speed (p < 0.05). The relationship between PM10 and PM2.5 concentrations and temperature was more complicated—it showed a significantly negative correlation (p < 0.01) between them in winter and spring, however, the correlation was insignificant in autumn. In summer, only the correlation between PM10 concentration and temperature on the wetland surface was significant (p < 0.01). (3) The dry removal efficiency of PM10 was greater than that of PM2.5. The dry removal efficiencies of PM10 and PM2.5 followed the order of spring > winter > autumn > summer on the wetland. This study seeks to provide practical measures to improve air quality and facilitate sustainable development in Beijing.

ACS Style

Chunyi Li; Yilan Huang; Huanhuan Guo; Gaojie Wu; Yifei Wang; Wei Li; Lijuan Cui. The Concentrations and Removal Effects of PM10 and PM2.5 on a Wetland in Beijing. Sustainability 2019, 11, 1312 .

AMA Style

Chunyi Li, Yilan Huang, Huanhuan Guo, Gaojie Wu, Yifei Wang, Wei Li, Lijuan Cui. The Concentrations and Removal Effects of PM10 and PM2.5 on a Wetland in Beijing. Sustainability. 2019; 11 (5):1312.

Chicago/Turabian Style

Chunyi Li; Yilan Huang; Huanhuan Guo; Gaojie Wu; Yifei Wang; Wei Li; Lijuan Cui. 2019. "The Concentrations and Removal Effects of PM10 and PM2.5 on a Wetland in Beijing." Sustainability 11, no. 5: 1312.

Research article
Published: 21 December 2018 in PLOS ONE
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Tussocks are unique vegetation structures in wetlands. Many tussock species mainly reproduce by clonal growth, resulting in genetically identical offspring distributed in various spatial patterns. These fine-scale patterns could influence mating patterns and thus the long-term evolution of wetland plants. Here, we contribute the first genetic and clonal structures of two key species in alpine wetlands on the Qinghai–Tibet Plateau, Kobresia tibetica and Blysmus sinocompressus, using > 5000 SNPs identified by 2b-RAD sequencing. The tussock-building species, K. tibetica, has a phalanx (clumping) growth form, but different genets could co-occur within the tussocks, indicating that it is not proper to treat a tussock as one genetic individual. Phalanx growth does not necessarily lead to increased inbreeding in K. tibetica. B. sinocompressus has a guerilla (spreading) growth form, with the largest detected clone size being 18.32 m, but genets at the local scale tend to be inbred offspring. Our results highlight that the combination of clone expansion and seedling recruitment facilitates the contemporary advantage of B. sinocompressus, but its evolutionary potential is limited by the input genetic load of the original genets. The tussocks of K. tibetica are more diverse and a valuable genetic legacy of former well-developed wet meadows, and they are worthy of conservation attention.

ACS Style

Yu Ning; Gao-Jie Wu; Hua Ma; Ju-Lan Guo; Man-Yin Zhang; Wei Li; Yi-Fei Wang; Suo-Lang Duoerji. Contrasting fine-scale genetic structure of two sympatric clonal plants in an alpine swampy meadow featured by tussocks. PLOS ONE 2018, 13, e0209572 .

AMA Style

Yu Ning, Gao-Jie Wu, Hua Ma, Ju-Lan Guo, Man-Yin Zhang, Wei Li, Yi-Fei Wang, Suo-Lang Duoerji. Contrasting fine-scale genetic structure of two sympatric clonal plants in an alpine swampy meadow featured by tussocks. PLOS ONE. 2018; 13 (12):e0209572.

Chicago/Turabian Style

Yu Ning; Gao-Jie Wu; Hua Ma; Ju-Lan Guo; Man-Yin Zhang; Wei Li; Yi-Fei Wang; Suo-Lang Duoerji. 2018. "Contrasting fine-scale genetic structure of two sympatric clonal plants in an alpine swampy meadow featured by tussocks." PLOS ONE 13, no. 12: e0209572.

Journal article
Published: 19 November 2018 in Sustainability
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Potential changes in both the intensity and frequency of extreme drought events are vital aspects of regional climate change that can alter the distribution and dynamics of water availability and subsequently affect carbon cycles at the ecosystem level. The effects of extreme drought events on the carbon budget of peatland in the Zoige plateau and its response mechanisms were studied using an in-field controlled experimental method. The results indicated that the peatland ecosystem of the Zoige plateau functioned as a carbon sink while under the control (CK) or extreme drought (D) treatment throughout the entire growing season. Maximum fluxes of methane (CH4) emissions and the weakest carbon sink activity from this ecosystem were in the early growth stage, the most powerful carbon sink activity was during the peak growth stage, while the absorption sink activity of carbon dioxide (CO2) and CH4 was present during the senescence stage. Extreme drought reduced the gross primary productivity (GPP) and ecosystem respiration (Re) of the peatland ecosystem by 14.5% and 12.6%, respectively (p < 0.05) and the net ability to store carbon was reduced by 11.3%. Overall, the GPP was highly sensitive to extreme drought. Moreover, extreme drought significantly reduced the CH4 fluxes of the ecosystem and even changed the peatland from a CH4 emission source to a CH4 sink. Subsequent to drought treatment, extreme drought was also shown to have a carry-over effect on the carbon budget of this ecosystem. Soil water content and soil temperature were the main driving factors of carbon budget change in the peatland of the Zoige plateau, but with the increase in soil depth, these driving forces were decreased. The findings indicated that frequent extreme drought events in the future might reduce the net carbon sink function of peatland areas, with an especially strong influence on CO2.

ACS Style

XiaoMing Kang; Liang Yan; Lijuan Cui; Xiaodong Zhang; Yanbin Hao; Haidong Wu; Yuan Zhang; Wei Li; Kerou Zhang; Zhongqing Yan; Yong Li; Jinzhi Wang. Reduced Carbon Dioxide Sink and Methane Source under Extreme Drought Condition in an Alpine Peatland. Sustainability 2018, 10, 4285 .

AMA Style

XiaoMing Kang, Liang Yan, Lijuan Cui, Xiaodong Zhang, Yanbin Hao, Haidong Wu, Yuan Zhang, Wei Li, Kerou Zhang, Zhongqing Yan, Yong Li, Jinzhi Wang. Reduced Carbon Dioxide Sink and Methane Source under Extreme Drought Condition in an Alpine Peatland. Sustainability. 2018; 10 (11):4285.

Chicago/Turabian Style

XiaoMing Kang; Liang Yan; Lijuan Cui; Xiaodong Zhang; Yanbin Hao; Haidong Wu; Yuan Zhang; Wei Li; Kerou Zhang; Zhongqing Yan; Yong Li; Jinzhi Wang. 2018. "Reduced Carbon Dioxide Sink and Methane Source under Extreme Drought Condition in an Alpine Peatland." Sustainability 10, no. 11: 4285.

Journal article
Published: 12 September 2018 in Science of The Total Environment
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Microorganisms play crucial roles in the nitrogen removal processes of wetlands. However, the key functional genes and microbes related to the nitrogen removal remain largely unknown in the free water surface constructed wetland (FWS CW). Here we studied the abundances of denitrifiers by targeting the key functional genes (nirS, nirK and nosZ) and investigated the community compositions of denitrifiers and their correlations with the abiotic variables in a FWS CW. The increase of nosZ/(nirS + nirK) and nirS/nirK ratios in the outlet indicated a shift of denitrifiers' communities which tended to release less nitrous oxide at the genetic potential level. The denitrifiers dominated the bacterial community which also remarkably changed from the inlet to the outlet. PICRUSt analysis revealed that the denitrifiers contributed to 39.1% of the nitrogen metabolism, 38.9% of the amino acid metabolism and 25.6% of the amino acid related enzymes. Four bacterial genera including Hydrogenophaga, Hylemonella, Aquabacterium and Cellvibrio were detected as the putative keystone denitrifiers. The abundance (nirS, nirK and nosZ) and the relative abundance of putative keystone denitrifiers were significantly correlated with total organic carbon, oxidation-reduction potential and C/N ratio, which could be regarded as the determinants for the denitrification process in the free water.

ACS Style

Jing Li; Jun-Tao Wang; Hang-Wei Hu; Zhang-Jie Cai; Yin-Ru Lei; Wei Li; Man-Yin Zhang; Zong-Ming Li; Yi-Nuo Zhu; Li-Juan Cui. Changes of the denitrifying communities in a multi-stage free water surface constructed wetland. Science of The Total Environment 2018, 650, 1419 -1425.

AMA Style

Jing Li, Jun-Tao Wang, Hang-Wei Hu, Zhang-Jie Cai, Yin-Ru Lei, Wei Li, Man-Yin Zhang, Zong-Ming Li, Yi-Nuo Zhu, Li-Juan Cui. Changes of the denitrifying communities in a multi-stage free water surface constructed wetland. Science of The Total Environment. 2018; 650 ():1419-1425.

Chicago/Turabian Style

Jing Li; Jun-Tao Wang; Hang-Wei Hu; Zhang-Jie Cai; Yin-Ru Lei; Wei Li; Man-Yin Zhang; Zong-Ming Li; Yi-Nuo Zhu; Li-Juan Cui. 2018. "Changes of the denitrifying communities in a multi-stage free water surface constructed wetland." Science of The Total Environment 650, no. : 1419-1425.

Preprint
Published: 26 May 2018
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Tussock is a unique structure in wetland vegetation. Many tussock species reproduce mainly by clonal growth, resulting in genetically identical offsprings distributed in various spatial patterns. These fine scale patterns could affect the mating patterns and thus long-term evolution of wetland plants. Here we contribute the first genetic and clonal structure of two key species in alpine wetlands of the Qinghai–Tibet Plateau: Kobresia tibetica and Blysmus sinocompressus, using > 5000 SNPs identified by 2b-RAD sequencing. The tussock builder K. tibetica has a phalanx growth form but different genets could co-occur within tussock, indicating it’s not proper to treat tussock as one genetic individual. Phalanx growth form does not necessarily lead to increased inbreeding in K. tibetica. B. sinocompressus has a guerilla growth form, with the largest detected clone size of 18.32m, but genets at the local scale tends to be inbreeded offsprings. Our results highlight that the contemporary advantage of B. sinocompressus facilitates the combination of clone expansion and fast seedlings, but its evolutionary potential is limited by the input genetic load of original genets. Tussocks of K. tibetica are more diverse and valuable genetic legacy of former well developed wet meadow worthy of conservation attention.

ACS Style

Yu Ning; Gao-Jie Wu; Hua Ma; Ju-Lan Guo; Man-Yin Zhang; Wei Li; Yi-Fei Wang; Suo-Lang Duoerji. Contrasting fine scale genetic structure of two sympatric clonal plants in alpine swampy meadow featured by tussocks. 2018, 1 .

AMA Style

Yu Ning, Gao-Jie Wu, Hua Ma, Ju-Lan Guo, Man-Yin Zhang, Wei Li, Yi-Fei Wang, Suo-Lang Duoerji. Contrasting fine scale genetic structure of two sympatric clonal plants in alpine swampy meadow featured by tussocks. . 2018; ():1.

Chicago/Turabian Style

Yu Ning; Gao-Jie Wu; Hua Ma; Ju-Lan Guo; Man-Yin Zhang; Wei Li; Yi-Fei Wang; Suo-Lang Duoerji. 2018. "Contrasting fine scale genetic structure of two sympatric clonal plants in alpine swampy meadow featured by tussocks." , no. : 1.

Journal article
Published: 28 April 2018 in Water
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Peatlands play an essential role in the global carbon (C) and nitrogen (N) cycling. In order to ascertain the draining effects on recent accumulation rates of C (RERCA) and N (RERNA) in the Zoige peatland in the eastern Qinghai-Tibet Plateau, the core samples of peat growth, C and N accumulation for both natural and drained peatlands were measured using 210Pb and 137Cs dating methods. As a result, RERCA and RERNA showed an increasing trend from the bottom to the surface of the peatland, which was in accordance with the peat accumulation rates. However, the average RERCA in permanently flooded and seasonally flooded peatlands were 1.5–2.5 times that of drainage peatlands, and the average of RERNA were 1.2–1.7 times. Our findings indicate that the Zoige peatland is still in the stage of peat development with a large carbon sequestration capacity, and drainage from human activities leads to the decreasing of RERCA and RERNA, which will contribute to the selection of the effective ways to slow down the anthropogenic effects on the degradation of the Zoige peatland.

ACS Style

Chunyi Li; Yilan Huang; Huanhuan Guo; Lijuan Cui; Wei Li. Draining Effects on Recent Accumulation Rates of C and N in Zoige Alpine Peatland in the Tibetan Plateau. Water 2018, 10, 576 .

AMA Style

Chunyi Li, Yilan Huang, Huanhuan Guo, Lijuan Cui, Wei Li. Draining Effects on Recent Accumulation Rates of C and N in Zoige Alpine Peatland in the Tibetan Plateau. Water. 2018; 10 (5):576.

Chicago/Turabian Style

Chunyi Li; Yilan Huang; Huanhuan Guo; Lijuan Cui; Wei Li. 2018. "Draining Effects on Recent Accumulation Rates of C and N in Zoige Alpine Peatland in the Tibetan Plateau." Water 10, no. 5: 576.

Journal article
Published: 10 April 2018 in Sustainability
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Wetlands are one of the world’s most productive ecosystems, and therefore it is crucial that management decisions regarding wetlands incorporate awareness of accurate assessments of the value of their respective ecosystem services. In this paper, we seek to improve the modelling precision in the scale transform process of ecosystem service evaluation. Firstly, we selected eight services as the criteria to calculate wetland ecosystem values: substance production, flood control, carbon sequestration, gas regulation, climate regulation, wave reduction, adding new lands, recreation and education. Then, six coastal wetlands of Liaoning province were chosen as the case study areas, and their ecosystem values were calculated by empirical method. Next, we simulated ecosystem values of the six cases by two spatial-scales transform methods named meta-analysis and wavelet transform. Finally, we compared the two groups of simulated values with the empirical measured values to examine their evaluation precisions. The results indicated that the total precision of the wavelet transform model (0.968) was higher than that of meta-analysis (0.712). In addition, the simulated values of single services such as substance production, flood control, carbon sequestration, gas regulation, and climate regulation were closer to the measured values using wavelet transform model. This research contributes to identifying an evaluation model with higher precision for evaluating wetland ecosystem services in the process of scale transform.

ACS Style

Baodi Sun; Yinru Lei; Lijuan Cui; Wei Li; XiaoMing Kang; Manyin Zhang. Addressing the Modelling Precision in Evaluating the Ecosystem Services of Coastal Wetlands. Sustainability 2018, 10, 1136 .

AMA Style

Baodi Sun, Yinru Lei, Lijuan Cui, Wei Li, XiaoMing Kang, Manyin Zhang. Addressing the Modelling Precision in Evaluating the Ecosystem Services of Coastal Wetlands. Sustainability. 2018; 10 (4):1136.

Chicago/Turabian Style

Baodi Sun; Yinru Lei; Lijuan Cui; Wei Li; XiaoMing Kang; Manyin Zhang. 2018. "Addressing the Modelling Precision in Evaluating the Ecosystem Services of Coastal Wetlands." Sustainability 10, no. 4: 1136.

Journal article
Published: 09 April 2018 in Sustainability
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The chlorophyll content can indicate the general health of vegetation, and can be estimated from hyperspectral data. The aim of this study is to estimate the chlorophyll content of mangroves at different stages of restoration in a coastal wetland in Quanzhou, China, using proximal hyperspectral remote sensing techniques. We determine the hyperspectral reflectance of leaves from two mangrove species, Kandelia candel and Aegiceras corniculatum, from short-term and long-term restoration areas with a portable spectroradiometer. We also measure the leaf chlorophyll content (SPAD value). We use partial-least-squares stepwise regression to determine the relationships between the spectral reflectance and the chlorophyll content of the leaves, and establish two models, a full-wave-band spectrum model and a red-edge position regression model, to estimate the chlorophyll content of the mangroves. The coefficients of determination for the red-edge position model and the full-wave-band model exceed 0.72 and 0.82, respectively. The inverted chlorophyll contents are estimated more accurately for the long-term restoration mangroves than for the short-term restoration mangroves. Our results indicate that hyperspectral data can be used to estimate the chlorophyll content of mangroves at different stages of restoration, and could possibly be adapted to estimate biochemical constituents in leaves.

ACS Style

Zhiguo Dou; Lijuan Cui; Jing Li; Yinuo Zhu; Changjun Gao; Xu Pan; Yinru Lei; Manyin Zhang; Xinsheng Zhao; Wei Li. Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China. Sustainability 2018, 10, 1127 .

AMA Style

Zhiguo Dou, Lijuan Cui, Jing Li, Yinuo Zhu, Changjun Gao, Xu Pan, Yinru Lei, Manyin Zhang, Xinsheng Zhao, Wei Li. Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China. Sustainability. 2018; 10 (4):1127.

Chicago/Turabian Style

Zhiguo Dou; Lijuan Cui; Jing Li; Yinuo Zhu; Changjun Gao; Xu Pan; Yinru Lei; Manyin Zhang; Xinsheng Zhao; Wei Li. 2018. "Hyperspectral Estimation of the Chlorophyll Content in Short-Term and Long-Term Restorations of Mangrove in Quanzhou Bay Estuary, China." Sustainability 10, no. 4: 1127.

Journal article
Published: 18 January 2018 in Water
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Nutrient removal in tidal flow constructed wetlands (TF-CW) is a complex series of nonlinear multi-parameter interactions. We simulated three tidal flow systems and a continuous vertical flow system filled with synthetic wastewater and compared the influent and effluent concentrations to examine (1) nutrient removal in artificial TF-CWs, and (2) the ability of a backpropagation (BP) artificial neural network to predict nutrient removal. The nutrient removal rates were higher under tidal flow when the idle/reaction time was two, and reached 90 ± 3%, 99 ± 1%, and 58 ± 13% for total nitrogen (TN), ammonium nitrogen (NH4+-N), and total phosphorus (TP), respectively. The main influences on nutrient removal for each scenario were identified by redundancy analysis and were input into the model to train and verify the pollutant effluent concentrations. Comparison of the actual and model-predicted effluent concentrations showed that the model predictions were good. The predicted and actual values were correlated and the margin of error was small. The BP neural network fitted best to TP, with an R2 of 0.90. The R2 values of TN, NH4+-N, and nitrate nitrogen (NO3−-N) were 0.67, 0.73, and 0.69, respectively.

ACS Style

Wei Li; Lijuan Cui; YaQiong Zhang; Zhangjie Cai; Manyin Zhang; Weigang Xu; Xinsheng Zhao; Yinru Lei; Xu Pan; Jing Li; Zhiguo Dou. Using a Backpropagation Artificial Neural Network to Predict Nutrient Removal in Tidal Flow Constructed Wetlands. Water 2018, 10, 83 .

AMA Style

Wei Li, Lijuan Cui, YaQiong Zhang, Zhangjie Cai, Manyin Zhang, Weigang Xu, Xinsheng Zhao, Yinru Lei, Xu Pan, Jing Li, Zhiguo Dou. Using a Backpropagation Artificial Neural Network to Predict Nutrient Removal in Tidal Flow Constructed Wetlands. Water. 2018; 10 (1):83.

Chicago/Turabian Style

Wei Li; Lijuan Cui; YaQiong Zhang; Zhangjie Cai; Manyin Zhang; Weigang Xu; Xinsheng Zhao; Yinru Lei; Xu Pan; Jing Li; Zhiguo Dou. 2018. "Using a Backpropagation Artificial Neural Network to Predict Nutrient Removal in Tidal Flow Constructed Wetlands." Water 10, no. 1: 83.

Journal article
Published: 27 October 2017 in Water
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Wetland plants are important components in constructed wetlands (CWs), and one of their most important functions in CWs is to purify the water. However, wetland plant litter can also increase eutrophication of water via decomposition and nutrient release, and few studies have focused on the interspecific variation in the decomposition rate and nutrient release of multiple plant species in CWs. Here a greenhouse litter-bag experiment was conducted to quantify the decomposition rates and nutrient release of 7 dominant macrophytes (2 floating plants and 5 emergent plants) in three types of water substrate. The results showed that plant litter species and growth forms significantly affected the litter mass losses. The nutrient release was significantly different among plant litter species, but not between floating and emergent plants. Litter traits, such as litter lignin, total nitrogen (TN) and total phosphorus (TP) can well predict the decomposition rates of submerged litter. These results indicated that submerging litter in water did not change the relationships between litter traits and litter decomposition rates, and leaching might play a more important role in the decomposition of submerged litter in CWs than that in other terrestrial ecosystems. These findings can provide suggestions for managers about the maintenance of constructed wetlands.

ACS Style

Yunmei Ping; Xu Pan; Lijuan Cui; Wei Li; Yinru Lei; Jian Zhou; Jiaming Wei. Effects of Plant Growth Form and Water Substrates on the Decomposition of Submerged Litter: Evidence of Constructed Wetland Plants in a Greenhouse Experiment. Water 2017, 9, 827 .

AMA Style

Yunmei Ping, Xu Pan, Lijuan Cui, Wei Li, Yinru Lei, Jian Zhou, Jiaming Wei. Effects of Plant Growth Form and Water Substrates on the Decomposition of Submerged Litter: Evidence of Constructed Wetland Plants in a Greenhouse Experiment. Water. 2017; 9 (11):827.

Chicago/Turabian Style

Yunmei Ping; Xu Pan; Lijuan Cui; Wei Li; Yinru Lei; Jian Zhou; Jiaming Wei. 2017. "Effects of Plant Growth Form and Water Substrates on the Decomposition of Submerged Litter: Evidence of Constructed Wetland Plants in a Greenhouse Experiment." Water 9, no. 11: 827.

Original articles
Published: 02 September 2017 in Ecosystem Health and Sustainability
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Introduction: Plant communities and soil factors might interact with each other in different temporal and spatial scales, which can influence the patterns and processes of the wetland ecosystem. To get a better understanding of the distribution of plants in wetlands and analyze their associations with environmental soil factors, the structure and types of plant communities in the eastern shore area of Lake Taihu were analyzed by two-way indicator species analysis and canonical correspondence analysis (CCA) ordination. The spatial distribution patterns of vegetation and the main factors affecting the distributions were investigated.Outcomes: Sixty-six sampling sites were selected to obtain vegetation species and soil environmental factor data. Results showed that 22 species from the 66 sites could be divided into seven communities: I: Arundo donax; II: A. donax + Phragmites australis; III: Zizania latifolia + Typha orientalis; IV: P. australis + Alternanthera philoxeroides + Polygonum hydropiper; V: P. australis; VI: P. australis + Humulus scandens; and VII: Erigeron acer + Ipomoea batatas + Rumex acetosa. Plant species and soil factors in the CCA analysis showed that I. batatas, E. acer, Chenopodium album, Polygonum lapathifolium, and Acalypha australis were mainly affected by pH, whereas Echinochloa crus-galli, Setaria viridis, and H. scandens were mainly affected by soil total phosphorus. Mentha canadensis and A. donax were mainly affected by soil conductivity, A. philoxeroides was mainly affected by soil organic matter and, Z. latifolia, Metaplexis japonica and P. hydropiper were mainly affected by available phosphorus.Conclusion:These results indicated that different plants adapted to different soil environmental factors and provided basic information on the diversity of Lake Taihu wetland vegetation.

ACS Style

Wei Li; Lijuan Cui; Baodi Sun; Xinsheng Zhao; Changjun Gao; Yan Zhang; Manyin Zhang; Xu Pan; Yinru Lei; Wu Ma. Distribution patterns of plant communities and their associations with environmental soil factors on the eastern shore of Lake Taihu, China. Ecosystem Health and Sustainability 2017, 3, 1 .

AMA Style

Wei Li, Lijuan Cui, Baodi Sun, Xinsheng Zhao, Changjun Gao, Yan Zhang, Manyin Zhang, Xu Pan, Yinru Lei, Wu Ma. Distribution patterns of plant communities and their associations with environmental soil factors on the eastern shore of Lake Taihu, China. Ecosystem Health and Sustainability. 2017; 3 (9):1.

Chicago/Turabian Style

Wei Li; Lijuan Cui; Baodi Sun; Xinsheng Zhao; Changjun Gao; Yan Zhang; Manyin Zhang; Xu Pan; Yinru Lei; Wu Ma. 2017. "Distribution patterns of plant communities and their associations with environmental soil factors on the eastern shore of Lake Taihu, China." Ecosystem Health and Sustainability 3, no. 9: 1.

Journal article
Published: 04 June 2017 in Sustainability
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Peatlands play an important role in the global carbon cycle and potentially have a significant impact on regional climate change. Restoring and rewetting the degraded peatlands is an urgent task. However, effects of rewetting on the carbon emissions of peatlands remain poorly understood. In this study, the process of rewetting a piece of the degraded Zoige alpine peatland was experimentally simulated and the derived results were compared with those of natural rewetting by monitoring CO2 and CH4 fluxes and other environmental factors before and after rewetting. The natural rewetting results showed that rewetting decreased ecosystem respiration (ER) by about 60%. Furthermore, rewetting increased CH4 emissions by 127%, decreased total carbon emissions (TCE) from 270 to 157 mg CO2 m−2 h−1, and decreased TCE from the entire ecosystem by 42%. The results of the controlled experiment showed that ER decreased gradually as the degree of rewetting was increased, and CH4 fluxes and changes in water level were significantly and positively correlated: CH4 fluxes increased from 0.3 (water level −20 cm) to 2.17 mg CH4 m−2 h−1 (water level 20 cm). After rewetting, the TCE of the whole ecosystem were significantly decreased. Regional observations showed that CO2 fluxes were significantly and negatively correlated to the water level; and the corresponding CO2 equivalent was significantly and positively correlated to the water level, while TCE were significantly and negatively correlated to the water level. Our findings indicate that rewetting can decrease carbon emissions and thus contribute in mitigating the adverse effects of climate change in alpine peatland.

ACS Style

Lijuan Cui; XiaoMing Kang; Wei Li; Yanbin Hao; Yuan Zhang; Jinzhi Wang; Liang Yan; Xiaodong Zhang; Manyin Zhang; Jian Zhou; Paul Kardol. Rewetting Decreases Carbon Emissions from the Zoige Alpine Peatland on the Tibetan Plateau. Sustainability 2017, 9, 948 .

AMA Style

Lijuan Cui, XiaoMing Kang, Wei Li, Yanbin Hao, Yuan Zhang, Jinzhi Wang, Liang Yan, Xiaodong Zhang, Manyin Zhang, Jian Zhou, Paul Kardol. Rewetting Decreases Carbon Emissions from the Zoige Alpine Peatland on the Tibetan Plateau. Sustainability. 2017; 9 (6):948.

Chicago/Turabian Style

Lijuan Cui; XiaoMing Kang; Wei Li; Yanbin Hao; Yuan Zhang; Jinzhi Wang; Liang Yan; Xiaodong Zhang; Manyin Zhang; Jian Zhou; Paul Kardol. 2017. "Rewetting Decreases Carbon Emissions from the Zoige Alpine Peatland on the Tibetan Plateau." Sustainability 9, no. 6: 948.

Journal article
Published: 07 November 2016 in Water
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We monitored the water quality and hydrological conditions of a horizontal subsurface constructed wetland (HSSF-CW) in Beijing, China, for two years. We simulated the area-based constant and the temperature coefficient with the first-order kinetic model. We examined the relationships between the nitrogen (N) removal rate, N load, seasonal variations in the N removal rate, and environmental factors—such as the area-based constant, temperature, and dissolved oxygen (DO). The effluent ammonia (NH4+-N) and nitrate (NO3−-N) concentrations were significantly lower than the influent concentrations (p < 0.01, n = 38). The NO3−-N load was significantly correlated with the removal rate (R2 = 0.96, p < 0.01), but the NH4+-N load was not correlated with the removal rate (R2 = 0.02, p > 0.01). The area-based constants of NO3−-N and NH4+-N at 20 °C were 27 ± 26 (mean ± SD) and 14 ± 10 m∙year−1, respectively. The temperature coefficients for NO3−-N and NH4+-N were estimated at 1.004 and 0.960, respectively. The area-based constants for NO3−-N and NH4+-N were not correlated with temperature (p > 0.01). The NO3−-N area-based constant was correlated with the corresponding load (R2 = 0.96, p < 0.01). The NH4+-N area rate was correlated with DO (R2 = 0.69, p < 0.01), suggesting that the factors that influenced the N removal rate in this wetland met Liebig’s law of the minimum.

ACS Style

Lijuan Cui; Wei Li; YaQiong Zhang; Jiaming Wei; Yinru Lei; Manyin Zhang; Xu Pan; Xinsheng Zhao; Kai Li; Wu Ma. Nitrogen Removal in a Horizontal Subsurface Flow Constructed Wetland Estimated Using the First-Order Kinetic Model. Water 2016, 8, 514 .

AMA Style

Lijuan Cui, Wei Li, YaQiong Zhang, Jiaming Wei, Yinru Lei, Manyin Zhang, Xu Pan, Xinsheng Zhao, Kai Li, Wu Ma. Nitrogen Removal in a Horizontal Subsurface Flow Constructed Wetland Estimated Using the First-Order Kinetic Model. Water. 2016; 8 (11):514.

Chicago/Turabian Style

Lijuan Cui; Wei Li; YaQiong Zhang; Jiaming Wei; Yinru Lei; Manyin Zhang; Xu Pan; Xinsheng Zhao; Kai Li; Wu Ma. 2016. "Nitrogen Removal in a Horizontal Subsurface Flow Constructed Wetland Estimated Using the First-Order Kinetic Model." Water 8, no. 11: 514.